基于非线性主成分分析的绿色超级稻品种综合评价  

Comprehensive evaluation of green super rice varieties based on nonlinear principal component analysis

作　　者：纪龙[1] 申红芳[1] 徐春春[1] 陈中督 方福平[1] JI Long;SHEN Hong-Fang;XU Chun-Chun;CHEN Zhong-Du;FANG Fu-Ping(China National Rice Research Institute, Hangzhou 310006, Zhejiang, China)

机构地区：[1]中国水稻研究所

出　　处：《作物学报》2019年第7期982-992,共11页Acta Agronomica Sinica

基　　金：国家高技术研究发展计划项目(2014AA10A605);浙江省自然科学基金青年基金项目(LQ18G030013);财政部-农业部基本科研业务费项目(2017RG007)资助~~

摘　　要：应用绿色超级稻被认为是推动水稻生产可持续发展的重要途径之一,已成为全球水稻育种的主要目标。目前关于绿色超级稻品种综合评价的研究鲜有报道。本文围绕“少打农药、少施化肥、节水抗旱、优质高产”的理念,从技术性、经济性、生态性和社会性 4 个维度构建了绿色超级稻品种综合评价指标体系,为水稻及其他作物品种的综合评价、品种选育及推广应用提供了有益的研究思路。在此基础上引入一种非线性主成分分析法对数主成分分析,利用大田试验数据及不同评价方法的对比分析表明,对数主成分分析法符合绿色超级稻的育种理念,具有较强的合理性,可作为一种有效的水稻品种综合评价方法。Application of green super rice (GSR) is regarded as one of the important ways to realize sustainable development of rice production, and has become a major goal of the rice breeding around the world. However, there are few literatures on com- prehensive evaluation of GSR varieties. The GSR concept is the development of varieties with insect and disease resistance, high N- and P-use efficiency, drought resistance, high grain yield and superior quality. Based on the GSR concept, we establish a com- prehensive evaluation index system of GSR varieties in four dimensions, including technical indicators, economic indicators, ecological indicators and social indicators. This index system should shed light on a new perspective for evaluation of crop varie- ties, variety breeding as well as the application and extension of new crop varieties. Further, a nonlinear principal component analysis, namely logarithmic principal component analysis, was introduced into the comprehensive evaluation of GSR varieties. Based on field experimental data with a comparative analysis by different methods, we revealed that the logarithmic principal component analysis is feasible and reasonable for comprehensive evaluation of GSR varieties.

关 键 词：绿色超级稻 综合评价 指标体系 非线性主成分分析 

分 类 号：S511[农业科学—作物学]